Surface and crustal dynamics Lab
Research Field
I received my Ph.D. at the Department of Geological Sciences, Indiana University with a major in Geophysics and a minor in mathematics. Before that, I got my M.S. in Geology at Central Washington University. With the passage of my career, I have been working on topics related to surface processes, tectonic geomorphology, active tectonics, and crustal deformation by integrating multiple techniques in geodesy and geoinformatics.
The research topic of our research group is focusing on applying varied geospatial observations for disaster applications and homeland monitoring . Especially, we have developed facilities for processing synthetic aperture radar as well as creating high-resolution 3D models from structure-from-motion techniques.
Our group currently focuses on three major directions: (1) Monitoring of topographic evolution; (2) Integrating and applications of multiple techniques in geodesy and geoinformatics; (3) Evaluation of natural hazards and applications of hazard mitigation.
In the processes of topographic evolution and mountain building, two fundamental factors are deformation/movement associated with tectonic activities (endogenic forces) and erosion/landslides influenced by climate (exogenic forces). For the endogenic forces, we mainly combine high-precision GNSS and InSAR techniques to monitor surface displacement and deformation such as coseismic and postseismic deformation of major earthquakes. We then construct numerical models based on continuum mechanics and inverse theory to study mechanisms of crustal deformation. On the other hand, we use UAV, digital camera, and other terrestrial and satellite geodetic methods to observe topographic changes like large-scale landslides, fluvial channel migration, and mud volcanic eruptions. Since modern geomorphological studies are dynamic monitoring and analyses of processes rather than morphological description, we focus on topographic evolution due to the competition and feedback between tectonics and erosion.
Because we are using different techniques in geodesy and geoinformatics, in addition to surface monitoring, we are interested in how to combine multiple data sets, even to integrate techniques like panorama and virtual reality, for other applications. Moreover, surface monitoring data are in the form of time series so we are also interested in how to extract useful information from time series and to develop spatiotemporal analysis based on time series data.
For applications of surface monitoring and surface processes, we pay attention to topics related to natural hazards. One topic is inferring the characteristics of hazards such as estimating seismic potential and scenarios and evaluating properties of landslides. Other topics could be associated with hazard mitigation like forecasting earthquake-triggered landslides and social impacts due to natural hazards.
2025, Nature Springer Author Service Award
2025, Incentivizing Academic Research Performance, National Taiwan University
2024, Overseas Internship Program, Ministry of Education
2023, Most Cited Paper Award, Terrestrial, Atmospheric and Oceanic Sciences
2022-25, Academic Research Career Development Project, National Taiwan University
2021-22, Incentivizing Academic Research Performance, National Taiwan University
2019-20 Partner School Cooperation Grant, National Taiwan University
Ph.D., Indiana University
M.S., Central Washington University
B.S., National Taiwan University
Job Description
The appointed intern will assist in research on surface processes and crustal dynamics, with a focus on strain rate analysis using various deformation methods. Responsibilities include the acquisition, processing, and analysis of geodetic data (e.g., GPS), as well as the application in seismic hazard modelling.
Preferred Intern Educational Level
- Currently pursuing a Master’s degree in Geography, Earth Sciences, Geoscience, or a related field
Skill sets or Qualities
Preferred Intern Eligibility
- Demonstrated interest in geospatial analysis, surface processes, crustal deformation, or geodesy
- Ability to work both independently and collaboratively within a research environment
- Strong analytical, organizational, and communication skills
- Prior research experience will be considered an advantage
Required Skill Set
- Working knowledge of geodetic data (e.g., GPS) and experience in data processing and interpretation
- Strong expertise in Geographic Information Systems (GIS), including spatial analysis and geospatial data interpretation
- Basic mathematical and programming skills (e.g., Python, MATLAB, or similar)
- Solid foundation in statistical analysis for research and data-driven applications
- Demonstrated quantitative and qualitative research skills, including data collection, analysis, and reporting.